Partially and fully parallel normaliser

ABSTRACT

Hardware logic arranged to normalize (or renormalize) an n-bit input number is described in which at least a proportion of a left shifting operation is performed in parallel with a leading zero count operation. In various embodiments the left shifting and the leading zero count are performed independently. In various other embodiments, a subset of the bits output by a leading zero counter are input to a left shifter and the output from the left shifter is input to a renormalization block which completes the remainder of the left shifting operation independently of any further input from the leading zero counter.

CROSS-REFERENCE TO RELATED APPLICATION AND CLAIM OF PRIORITY

This application is a continuation under 35 U.S.C. 120 of copendingapplication Ser. No. 14/576,859 filed Dec. 19, 2014, now U.S. Pat. No.9,703,525, which claims priority under 35 U.S.C. 119 from United KingdomApplication No. GB 1322757.4 filed Dec. 20, 2013.

BACKGROUND

Normalising an n-bit binary number (where r≥2) comprises left shiftingthe number so that the most significant (or leading) one is in the leftmost position (the most significant bit, or MSB) and returning theleading zero count of the number, where ‘leading zeros’ are counted fromthe left, such that a binary number 1110 has no leading zero and abinary number 0001 has three leading zeros. There are many uses fornormalising and in particular it is used in floating point arithmetic.In floating point units in processors, the operation of left shiftingthe significand (a number with a one in the MSB) by the exponent valueis called denormalising and the subsequent operation to convert back tofloating point (such that the leading one is in the MSB) is referred toas ‘renormalisation’.

Normalisation (or renormalisation) is performed by performing a leadingzero count and then left shifting the input n-bit number by this amount.For example, if the input number is 0001, the leading zero count wouldidentify that there are 3 leading zeros and the subsequent left shiftingoperation would shift the leading one by 3 positions. The normaliser (orrenormaliser) would therefore output the result 1000 and simultaneouslythe leading zero count of 3 (or 11 in binary).

The embodiments described below are not limited to implementations whichsolve any or all of the disadvantages of known normalisers andrenormalisers.

SUMMARY

This Summary is provided to introduce a selection of concepts in asimplified form that are further described below in the DetailedDescription. This Summary is not intended to identify key features oressential features of the claimed subject matter, nor is it intended tobe used as an aid in determining the scope of the claimed subjectmatter.

Hardware logic arranged to normalise (or renormalise) an n-bit inputnumber is described in which at least a proportion of a left shiftingoperation is performed in parallel with a leading zero count operation.In various embodiments the left shifting and the leading zero count areperformed independently. In various other embodiments, a subset of thebits output by a leading zero counter are input to a left shifter andthe output from the left shifter is input to a renormalisation blockwhich completes the remainder of the left shifting operationindependently of any further input from the leading zero counter.

A first aspect provides an apparatus comprising hardware logic arrangedto normalise an n-bit input number, the hardware logic comprising: aleading zero counter arranged to compute a number of leading zeros inthe n-bit number; and left shifting logic arranged to perform leftshifting of the n-bit number, wherein at least a portion of the leftshifting is performed in parallel with the computing of the number ofleading zeros.

A second aspect provides a computer readable storage medium havingencoded thereon computer readable program code for generating aprocessor comprising hardware logic arranged to normalise an n-bit inputnumber, the hardware logic comprising: a leading zero counter arrangedto compute a number of leading zeros in the n-bit number; andnormalisation logic arranged to perform left shifting of the n-bitnumber, wherein at least a portion of the left shifting is performed inparallel with the computing of the number of leading zeros.

Further aspects include a method of normalising an input n-bit number,the method comprising: computing a number of leading zeros in the n-bitnumber in a leading zero counter; and left shifting of the n-bit numberin left shifting logic, wherein at least a portion of the left shiftingis performed in parallel with the computing of the number of leadingzeros, and a computer readable storage medium having encoded thereoncomputer readable program code for performing this method.

The methods described herein may be performed by a computer configuredwith software in machine readable form stored on a tangible storagemedium e.g. in the form of a computer program comprising computerreadable program code for configuring a computer to perform theconstituent portions of described methods or in the form of a computerprogram comprising computer program code means adapted to perform allthe steps of any of the methods described herein when the program is runon a computer and where the computer program may be embodied on acomputer readable storage medium. Examples of tangible (ornon-transitory) storage media include disks, thumb drives, memory cardsetc and do not include propagated signals. The software can be suitablefor execution on a parallel processor or a serial processor such thatthe method steps may be carried out in any suitable order, orsimultaneously.

The hardware components described herein may be generated by anon-transitory computer readable storage medium having encoded thereoncomputer readable program code.

This acknowledges that firmware and software can be separately used andvaluable. It is intended to encompass software, which runs on orcontrols “dumb” or standard hardware, to carry out the desiredfunctions. It is also intended to encompass software which “describes”or defines the configuration of hardware, such as HDL (hardwaredescription language) software, as is used for designing silicon chips,or for configuring universal programmable chips, to carry out desiredfunctions.

The preferred features may be combined as appropriate, as would beapparent to a skilled person, and may be combined with any of theaspects of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments of the invention will be described, by way of example, withreference to the following drawings, in which:

FIG. 1 is a schematic diagram of a known arrangement of hardware logicfor performing normalisation;

FIGS. 2A and 2B show two schematic diagrams of improved hardware logicfor performing normalisation;

FIGS. 3A-3B and FIGS. 4A-4B show example arrangements of hardware logicwhich implement a leading zero counter;

FIG. 5 shows an example arrangement of hardware logic which implement arenormaliser block;

FIGS. 6A and 6B show two example arrangements of hardware logic within arenormaliser block arranged to calculate particular output bits;

FIG. 7 shows a further example arrangement of hardware logic whichimplement a renormaliser block;

FIGS. 8A and 8B show two example arrangements of hardware logic whichimplement a renormaliser block in a hybrid implementation.

Common reference numerals are used throughout the figures to indicatesimilar features.

DETAILED DESCRIPTION

Embodiments of the present invention are described below by way ofexample only. These examples represent the best ways of putting theinvention into practice that are currently known to the Applicantalthough they are not the only ways in which this could be achieved. Thedescription sets forth the functions of the example and the sequence ofsteps for constructing and operating the example. However, the same orequivalent functions and sequences may be accomplished by differentexamples.

As described above, normalisation is usually performed by passing theinput number, a, through a leading zero counter (LZC) 102 and then leftshifting the input number a (in a left shifter 104) by the number, s,output by the LZC 102, as shown in FIG. 1. The normalised output isdenoted r. Both values r and s are output by the normalisationoperation. This normalisation process can be a relatively slowoperation.

In some applications, the normalisation operation may be referred to asa ‘renormalisation’ (e.g. within a floating point unit, followingdenormalisation). For the purposes of the following description theterms ‘normalisation’ and ‘renormalisation’ are considered to beequivalent and interchangeable and the methods and hardware logicdescribed herein may be used in either normalisation or renormalisation.

Improved hardware logic for performing normalisation is described belowin which the left shifting operation starts before the completion of theleading zero count such that at least a part of the left shiftingoperation is performed in parallel with the leading zero countoperation. Two examples 201, 202 are shown in FIG. 2. In the firstexample 201, the leading zero count, which is performed by LZC 204, isperformed in parallel with the left shifting, which is performed by therenormaliser block 206. As shown in FIG. 2, in this example 201, the twooperations, leading zero count and left shifting, are performedindependently of each other to generate the two outputs r and s. In thesecond example 202, the left shifting operation (in left shifter 208)starts after an output has been received from the LZC 204 but before theleading zero count operation has been completed. In this example, asubset of the most significant bits (MSBs) of the LZC (i.e. the MSBs ofs) are provided to the left shifter 208 and then the left shifting iscompleted by the renormaliser block 210. The term ‘subset’ is usedherein to refer to a proper subset, such that a subset of the MSBs of sdoes not comprise all the bits of s. The hardware logic which performsthe left shifting operation may be referred to as “left shifting logic”.In the first example 201 this comprises the renormaliser block 206 andin the second example this comprises the left shifter 208 and therenormaliser block 210.

The MSBs of the LZC output can be computed more quickly and easily thanthe least significant bits (LSBs). This means that in the second example202, the MSBs can be received quickly by the left shifter 208 andnormalisation can be started before the LSBs have been computed in theLZC.

By performing at least a proportion of the leading zero count inparallel with the left shifting as described herein the hardware logicoperates faster, although it may result in a larger area of hardwarelogic. By selecting the degree of overlap, which may be defined in termsof the number of bits, h, from the LZC that are input to the leftshifter 208, the design may be arranged to satisfy particular speed andarea constraints. At one extreme, as shown in the first example 201 inFIG. 2, h=0 and at the other extreme, where all but one of the bits fromthe output, s, of the LZC are used, h=[ log₂ n], where n is the numberof bits in the input number, a. The term h may be referred to as thehybridity and as detailed, h∈[0,α−1], α=[ log₂ n]+1. The value of h is anatural number (where natural numbers are considered herein to includezero).

The first example 201 shown in FIG. 2 may be referred to as a fullyparallel implementation (h=0) and this is described in detail first. Thehybrid implementation, as shown in the second example 202, (1≤h<└ log₂n┘+1) is described in detail subsequently and this description refersback to the description of the fully parallel implementation as the LZC204 in each implementation may operate in the same way in both the fullyparallel and hybrid implementations and similarly the renormaliserblocks 206, 210 may operate in a similar way (e.g. the operations of therenormaliser block 210 in the hybrid implementation may be a subset ofthe operations of the renormaliser block 206 in the fully parallelimplementation).

The LZC 204 in the fully parallel implementation 201 may use anysuitable method to compute the output, s, which is the number of leadingzeros in the input number, a. In various examples, the LZC 204 may beimplemented based on the following equation for calculating the bits,s_(i), of the output, s, of the LZC 204:s _(i)=Σ_(k=1) ² ^(α−i−1) B _(n−1:n−(2k−1)2) _(i) B _(n−(2k−1)2) _(l)_(−1:n−k2) _(l+1)   (1)

Where:

i is the bit index for the output s and i∈[0, α−1]

Σ stands for a sum of OR gates

α_(m) are the bits of the input number α, where m is the bit index andm∈[0, n−1]

B_(β:γ)=α_(β) .α_(β−1) . . . α_(γ+1) .α_(γ) (where . represents the ANDoperation)

B_(β:γ) =α_(β)+α_(β−1)+ . . . +α_(γ+1)+α_(γ) (where + represents the ORoperation)

and if either (or both) of β or γ are negative: B_(β:γ)=0 and B_(β:γ)=1.

Considering an example where n=8, h=0 this gives α=4 and so the 4 bitscalculated by the LZC are as follows:s ₃ =B _(7:0)s ₂ =B _(7:4) B _(3:0)s ₁ =B _(7:6) B _(5:4) +B _(7:2) B _(1:0)s ₀ =B _(7:7) B _(6:6) +B _(7:5) B _(4:4) +B _(7:3) B _(2:2) B _(7:1) B_(0:0)

Expanding these out:s ₃=α₇ .α₆ . . . α₁ .α₀s ₂=α₇ .α₆ .α₅ .α₄ .(α₃+α₂+α₁+α₀)s ₁=α₇ .α₆ .(α₅+α₄)+α₇ .α₆ .α₅ .α₄ .α₃ .α₂ .(α₁+α₀)s ₀=α₇ .α₆+α₇ .α₆ .α₅ .α₄+α₇ .α₆ .α₅ .α₄ .α₃ .α₂+α₇ .α₆ .α₅ .α₄ .α₃ .α₂.α₁ .α₀=((α₇ .α₆)+(α₇ .α₆ ).(α₅ α₄))+(α₇ .α₆ .α₅ .α₄ ).((α₃ .α₂)+(α₃ .α₂).(α₁ .α₀))

And so this example LZC may be implemented in the arrangements ofhardware logic gates 301-304 shown in FIGS. 3 and 4.

The first arrangement 301 shows an example arrangement of hardware logicgates to compute the value of s₃ from the 8-bit input number, a. Asshown in FIG. 3, s₃ is calculated using three stages 305-307 of ANDgates 308 and a plurality of NOT gates 310. In each stage, pairs ofvalues from the previous stage are combined together using an AND gate308. The NOT gates 310 are used to invert the original input bits,α_(m).

The second arrangement 302 shows an example arrangement of hardwarelogic gates to compute the value of s₂. As shown in FIG. 3, s₂ iscalculated using three stages 311-313 of AND gates 308 and OR gates 314and a plurality of NOT gates 310. In each stage, pairs of values fromthe previous stage are combined together using an AND gate 308 or an ORgate 314. In this example, only a subset of the input bits are invertedusing NOT gates 310.

The third arrangement 303 shows an example arrangement of hardware logicgates to compute the value of s₁. As shown in FIG. 4, s₁ is calculatedusing three stages 316-318 of AND gates 308 and OR gates 314 and aplurality of NOT gates 310. In the first two stages 316-317, pairs ofvalues from the previous stage are combined together using an AND gate308 or an OR gate 314 and unlike in the previous two arrangements, inthis arrangement, input bits may be used more than once. For example, inthe first stage 316 input bits α₅ and α₄ are used twice, to generateboth α₅+α₄ and α₅ .α₄ ; however as α₅+α₄ and α₅ .α₄ are the logicalnegation of each other, it is not necessary to use an OR gate togenerate the first term and then two NOT gates (which may also bereferred to as ‘negators’) and an AND gate to generate the second term.Swapping AND or OR gates for NOT gates in the hardware logic saves space(as NOT gates are smaller in size) In the second stage 317, an outputfrom the first stage (α₇ .α₆ ) is used twice to generate both α₇ .α₆(α₅+α₄) and α₇ .α₆ .α₅ .α₄ . The final stage 318 is an AND-OR logicfunction 320 (which may be written AO21) and takes three inputs,combines two in an AND gate before combining the output of the AND gateand the third input in an OR gate.

The fourth arrangement 304 shows an example arrangement of hardwarelogic gates to compute the value of s₀. As shown in FIG. 4, s₀ iscalculated using three stages 321-323 of AND gates 308 and OR gates 314and a plurality of NOT gates 310. In the first stage 321, pairs of inputbits are combined together using AND gates 308 and a plurality of NOTgates 314. Like in the third arrangement, input bits may be used morethan once. In this example, both the second and third stages 322-323involve use of AO21 logic functions 320.

Although the four arrangements 301-304 are shown totally separately inFIGS. 3 and 4 it will be appreciated that they may be combined oroverlaid such that, for example, the value α₇ .α₆ is only calculatedonce and then used in each of the calculations of s_(i), rather thanthis value being calculated independently many times within the hardwarelogic.

The renormaliser block 206 in the fully parallel implementationcalculates the normalised output, r, without any input from the LZC 204,as shown in FIG. 2. In various examples, the renormaliser block 206 maybe implemented based on the following equation for calculating the bits,r_(j), of the output, r, of the renormaliser block 206:r _(j) =A _(n−1,j)+Σ_(k=1) ^(j) B _(n−1:n−k) A _(n−k−1,j−k)  (2)

Where:

j is the bit index for the normalised output, r, and j∈[0, n−1]A _(β,γ)=α_(β).α_(γ)

Considering the same example as previously where n=8, h=0, the 8 bitscalculated by the renormaliser block are as follows:r ₀ =A _(7,0)r ₁ =A _(7,1) +B _(7:7) A _(6,0)r ₂ =A _(7,2) +B _(7:7) A _(6,1) +B _(7:6) A _(5,0)r ₃ =A _(7,3) +B _(7:7) A _(6,2) +B _(7:6) A _(5,1) +B _(7:5) A _(4,0)r ₄ =A _(7,4) +B _(7:7) A _(6,3) +B _(7:6) A _(5,2) +B _(7:5) A _(4,1)+B _(7:4) A _(3,0)r ₅ =A _(7,5) +B _(7:7) A _(6,4) +B _(7:6) A _(5,3) +B _(7:5) A _(4,2)+B _(7:4) A _(3,1) +B _(7:3) A _(2,1)r ₆ =A _(7,6) +B _(7:7) A _(6,5) +B _(7:6) A _(5,4) +B _(7:5) A _(4,3)+B _(7:4) A _(3,2) +B _(7:3) A _(2,1) +B _(7:2) A _(1,0)r ₇= B _(7:0)

And these may be expanded and implemented in arrangements of OR, AND,NOT and/or AO21 logic functions in a similar manner to those describedabove with reference to FIGS. 3 and 4. In calculating the values ofr_(j), again pairs of input bits are combined in the first stage andthen groups of 2 or 3 outputs of each stage are combined in subsequentstages (e.g. where the AO21 logic function is used to combine 3outputs).

To simplify the implementation of equation (2) above, this may berewritten in the form of a recursion relation:r _(i) ^(j:k) =r _(i) ^(j:t) +B _(j:t) r _(i) ^(t−1:k)  (3)

where:

i, j, k, t are indices which each have a value in the range 0 to n−1,j≥k, and k+1≤t≤j (such that 1≤t≤n−1),

r_(i) ^(j:k) is the ith output bit of the renormaliser and B_(j:t) is asbefore, true only if α_(j), . . . , α_(t)=0.

The indices used in equations (3) to (6) are not necessarily the same asthe indices used previously (e.g. indices i and j are used earlier);however, it will be clear that where a reference is made back to one ofequations (3) to (6), the indices being referred to are those used inthe equations.

The value of l therefore divides a[j,k] into the two parts which may bedenoted ‘high’ (for a[j:t]) and ‘low’ (for a[t−1,k]) such that equation(3) can be rewritten as:r _(i) ^(high&low) =r _(i) ^(high) +B _(high) r _(i) ^(low)  (4)

Where the function B_(high) is equal to one only if there are no 1s inthe high part. Although the value of t may be selected arbitrarilywhilst satisfying k+1≤t≤j, if t is selected to split a[j,k] into equalportions, the number of recursion steps is minimised.

Equation (3) is written in ‘sum of product’ form and the recursionrelation may alternatively be written in ‘product of sum’ form as:r _(i) ^(j:k)=(r _(i) ^(j:t) +B _(j:t))(r _(i) ^(j:t) +r _(i)^(t−1:k))  (5)

Starting from r_(i) ^(j:j)=A_(j,j−n+1+i), r_(i) ^(n−1:0) can beconstructed in hardware logic in ┌log₂(i+1)┐ steps using the recursionrelation (of equation (3) or (5)) to form r_(i) ^(j:k) for larger andlarger intervals of [j,k] and B_(j:k) can be constructed logarithmicallyusing an AND tree. An example of this for the previously describedexample where n=8, i.e. for r_(i) ^(7:0), is shown in FIG. 5 and thisuses the recursion shown in equation (3) above.

As can be seen from FIG. 5, the value of r_(i) ^(7:0) can be calculatedusing a number of stages of hardware logic formed from AND gates 308,NOT gates 310 and AO21 logic functions 320. At the first stage, pairs ofinput bits are combined using AND gates and in subsequent stages, two orthree input bits and/or outputs from a previous stage are combined usingan AND gate (for 2 bits) or an AO21 logic function (for 3 bits). NOTgates are also used to invert values as appropriate, i.e. to generateα_(l) from α_(i).

Not all of the logic arrangement shown in FIG. 5 is required forcalculating all values of r_(u) ^(7:0) since for some values of i and x(where x can have a value between 1 and 7 in this example), the value ofi-x may be negative and in which case the corresponding input bitα_(i−x) can be replaced by 0 and so the corresponding parts of the logictree can be omitted. For example, for i=6, α_(i−7) can be replaced by 0and so the hardware logic which calculates r_(i) ^(1:0) can besimplified to comprising a single AND gate which calculatesα₁.α_(i−6)=α₁.α₀. For smaller values of i, more of the logic arrangementis omitted, such that for i=0 and i=1 the logic arrangements are asshown in FIG. 6, with the first arrangement 601 corresponding to i=0 andthe second arrangement 602 corresponding to i=1. It can be seen that thehardware logic is considerately smaller than that shown in FIG. 5.

The logic arrangement for r_(i) ^(7:0) shown in FIG. 5 uses therecursion shown in equation (3) above. In other examples, the recursionshown in equation (5) may be used which results in the logic arrangementfor r_(i) ^(7:0) shown in FIG. 7. As can be seen from FIG. 7, the valueof r_(i) ^(7:0) can again be calculated using a number of stages ofhardware logic formed from AND gates 308, OR gates 314, NOT gates 310and OA22 logic functions 720. OA22 logic functions 720 combine two pairsof inputs using OR gates and then combine the outputs of the OR gatesusing an AND gate. It can be seen from FIG. 7 that the input r_(i)^(j:t) branches to provide an input to both the OR gates in the OA22logic function 720. In further examples, a combination of the recursionsused in equations (3) and (5) may be used such that at some levelswithin the tree equation (3) is used and at other levels, equation (5)is used.

By building up the hardware logic using the recursion relation ofequation (3) and/or (5) the delay is approximately proportional tolog(i).

As described above with reference to FIG. 5, not all of the logicarrangement shown in FIG. 7 is required for calculating all values ofr_(i) ^(7:0) since for some values of i and x (where x can have a valuebetween 1 and 7 in this example), the value of i−x may be negative andin which case the corresponding input bit α_(i−x) can be replaced by 0and so the corresponding parts of the logic tree can be omitted.

In various examples separate hardware logic may be provided to calculateeach of the r_(i); however, as with the case of the LZC arrangements ofhardware logic, the hardware logic for different r_(i) may be combinedor overlaid such that values may be calculated only once and then usedin multiple calculations of r_(i), rather than a value being calculatedindependently many times within the hardware logic. In other examples,some values may still be calculated more than once, but values may beshared between logic arrangements.

By using the fully parallel implementation, as described above, it ispossible to halve the delay in calculating outputs r and s compared toknown methods of normalisation (e.g. as shown in FIG. 1).

The above detailed description relates to the first example 201 shown inFIG. 2 which is the fully parallel implementation (h=0). The sameprinciples and equations may be used in the hybrid implementation, asshown in the second example 202, (1≤h<α); however, the hardware logicused for renormalisation (i.e. the left shifter 208 and renormalisationblock 210) can be simplified as a result of receiving one or more bits(h bits) from the LZC 204. These hybrid implementations are described indetail below.

The LZC 204 in the hybrid implementation (like in the fully parallelimplementation 201) may use any suitable method to compute the output,s, which is the number of leading zeros in the input number, a. Invarious examples, the LZC 204 may be implemented based on equation (1)for calculating the bits, s_(i), of the output, s, of the LZC 204, andthis implementation may be as described above with reference to thefully parallel implementation and shown in FIGS. 3 and 4. Unlike in thefully parallel implementation, in the hybrid implementations, one ormore of the MSBs of the LZC output (but not all bits of the LZC output)are provided to a left shifter 208 which may be implemented using amultiplexer. In any hybrid implementation, h bits are output by the LZC204 to the left shifter 208 where 1≤h<α. Where n is a power of 2 (i.e.n=2^(y) where y is a natural number) the value of h used in a hybridimplementation may be selected to be greater than one in order that theamount of logic in the renormaliser is reduced compared to the fullyparallel (h=0) known solution (as shown in FIG. 1).

The left shifter 208 receives the h-bits from the LZC 204 and leftshifts the input number a by the number of places indicated by thereceived bits. The left shifter 208 may, for example, be implementedusing a multiplexer. It will be appreciated that as the left shifter 208only receives one or more, but not all, the output bits from the LZC204, there may still be one or more leading zeros in the output from theleft shifter 208. For example, for a 3-bit LZC if a single MSB equal toone is received by the left shifter (h=1), then the left shifter shiftsthe input number by 2² bits to the left. However, if the single MSB inthis example that is received is equal to zero, no left shifting isperformed in the left shifter 208. In either case, the output from theleft shifter 208 has a maximum of 3 leading zeros as the two LSBs of theLZC are unknown.

The renormaliser block 210 in a hybrid implementation calculates thenormalised output, r, with some input from the LZC 204 (i.e. a subset ofthe bits, starting with the MSB) but without receiving the full output sfrom the LZC, as shown in FIG. 2. In various examples, the renormaliserblock 210 may be implemented based on the following equation forcalculating the bits, r_(j), of the output, r, of the renormaliser block210:r _(j) =A′ _(n−1,j)+Σ_(k=1) ^(MIN(j,2) ^(a−h) ⁻¹⁾ B′ _(n−1:n−k) A′_(n−k−1,j−k)  (6)

Where:

α′ is the output of the left shifter 208A′ _(β,γ)=α′_(β).α′_(γ)B′ _(β:γ)=α′_(β) .α′_(β−1) . . . α′_(γ+1) .α′_(γ)α′=α<<(s _(α−1)2^(α−1) + . . . +s _(α−h)2^(α−h))

Considering the same example as previously where n=8, but this timeusing the hybrid approach with h=2, the 8 bits calculated by therenormaliser block are as follows:r ₀ =A′ _(7,0)r ₁ =A′ _(7,1) +B′ _(7:7) A′ _(6,0)r ₂ =A′ _(7,2) +B′ _(7:7) A′ _(6,1) +B′ _(7:6) A′ _(5,0)r ₃ =A′ _(7,3) +B′ _(7:7) A′ _(6,2) +B′ _(7:6) A′ _(5,1) +B′ _(7:5) A′_(4,0)r ₄ =A′ _(7,4) +B′ _(7:7) A′ _(6,3) +B′ _(7:6) A′ _(5,2) +B′ _(7:5) A′_(4,1)r ₅ =A′ _(7,5) +B′ _(7:7) A′ _(6,4) +B′ _(7:6) A′ _(5,3) +B′ _(7:5) A′_(4,2)r ₆ =A′ _(7,6) +B′ _(7:7) A′ _(6,5) +B′ _(7:6) A′ _(5,4) +B′ _(7:5) A′_(4,3)r ₇ =A′ _(7,7) +B′ _(7:7) A′ _(6,6) +B′ _(7:6) A′ _(5,5) +B′ _(7:5) A′_(4,4)= B _(7:4)

And these may be expanded and implemented in arrangements of OR, AND,NOT and AO21 logic functions in a similar manner to those describedabove with reference to FIGS. 3 and 4. In calculating the values ofr_(j), again pairs of input bits are combined in the first stage andthen groups of 2 or 3 outputs of each stage are combined in subsequentstages (e.g. where the AO21 logic function is used to combine 3outputs).

It can be seen by comparing these equations to those above for the fullyparallel version, that by using the hybrid approach with h=2, theequations are truncated such that the equation for r₄ is missing thelast term, the equation for r₅ is missing the last two terms, theequation for r₆ is missing the last three terms and the equation for r₇is missing the last four terms. These terms can be discounted becausethe information provided by the bits received from the LZC narrows downthe possible positions of the leading one.

In a similar manner to equation (2), equation (6) can also be simplifiedby re-writing it in the form of a recursion relation (e.g. as shown inequations (3)-(5) above), however it is only necessary to constructr_(i) ^(n−1:n−2) ^(α−h) since it is known (as a result of the bitsreceived from the LZC 204) that the leading 1 occurs inα′[n−1:n−2^(α−h)] or α′=0.

As described above with reference to the fully parallel version,starting from r_(i) ^(j:j)=A_(j,j−n+1+i), r_(i) ^(n−1:n−2) ^(α−n) can beconstructed in hardware logic in [ log₂(i+1)] steps using a recursionrelation (e.g. equation (3) or (5)) to form r_(i) ^(j:k) for larger andlarger intervals of [j,k] and B_(j:k) can be constructed logarithmicallyusing an AND tree. Two examples of this for the previously describedexample, i.e. for n=8, α=4 and h=2, are shown in FIG. 8. For thisexample it is only necessary to construct r_(i) ^(7:4) and the firstexample 801 uses the recursion shown in equation (3) above whilst thesecond example 802 uses the recursion shown in equation (5) above. Thereduction in hardware logic required in the renormaliser block 210 wherea hybrid implementation is used can clearly be seen by comparing thefirst example 801 in FIG. 8 and FIG. 5 (which shows the fully parallelequivalent implementation) and by comparing the second example 802 inFIG. 8 and FIG. 7 (which again shows the fully parallel equivalentimplementation). In further examples (not shown in FIG. 8), acombination of the recursions used in equations (3) and (5) mayalternatively be used such that at some levels within the tree equation(3) is used and at other levels, equation (5) is used.

As described above with reference to FIGS. 5 and 7, not all of the logicarrangement shown in either example in FIG. 8 is required forcalculating all values of r_(i) ^(7:4) since for some values of i, theinput bit α_(i−x) (where in this case x can have a value of 1 or 2 or 3)will be replaced by zero and so the corresponding parts of the logictree can be omitted.

Using the methods described above, the LSBs of output r are output fromthe renormaliser block 210 significantly quicker than in knownnormalisers. As the value of h decreases, the size of the renormaliserblock 210 increases and the size of the left shifter 208 decreases (at aslower rate). The critical delay (i.e. the delay of the slowest signalfrom input to output of the component) does not change significantly ash is varied.

In some instances where the LSBs of r are output ahead of remaining bitsof r, these LSBs may be processed by further logic (e.g. input to arounding process) ahead of the output of the rest of r.

In comparison to the hybrid implementations, the fully parallelimplementation described above is larger in size, but is significantlyfaster to calculate the final outputs (i.e. all of r and s), with thedelay expected to be about ½ to ⅔ of the delay of known renormalisers.However, use of a hybrid approach provides design flexibility (i.e. totrade off size of hardware logic and speed of output of the LSBs of r).

FIGS. 3-8 which are described above show specific arrangements of logicgates (in particular AND, OR and NOT gates and AND-OR and OR-AND logicfunctions). It will be appreciated that there may be alternativearrangements of logic gates which achieve the same logic functions asthose shown.

The term ‘processor’ and ‘computer’ are used herein to refer to anydevice, or portion thereof, with processing capability such that it canexecute instructions. The term ‘processor’ may, for example, includecentral processing units (CPUs), graphics processing units (GPUs orVPUs), physics processing units (PPUs), radio processing units (RPUs),digital signal processors (DSPs), general purpose processors (e.g. ageneral purpose GPU), microprocessors, any processing unit which isdesigned to accelerate tasks outside of a CPU, etc. Those skilled in theart will realize that such processing capabilities are incorporated intomany different devices and therefore the term ‘computer’ includes settop boxes, media players, digital radios, PCs, servers, mobiletelephones, personal digital assistants and many other devices.

Those skilled in the art will realize that storage devices utilized tostore program instructions can be distributed across a network. Forexample, a remote computer may store an example of the process describedas software. A local or terminal computer may access the remote computerand download a part or all of the software to run the program.Alternatively, the local computer may download pieces of the software asneeded, or execute some software instructions at the local terminal andsome at the remote computer (or computer network). Those skilled in theart will also realize that by utilizing conventional techniques known tothose skilled in the art that all, or a portion of the softwareinstructions may be carried out by a dedicated circuit, such as a DSP,programmable logic array, or the like.

Memories storing machine executable data for use in implementingdisclosed aspects can be non-transitory media. Non-transitory media canbe volatile or non-volatile. Examples of volatile non-transitory mediainclude semiconductor-based memory, such as SRAM or DRAM. Examples oftechnologies that can be used to implement non-volatile memory includeoptical and magnetic memory technologies, flash memory, phase changememory, resistive RAM.

A particular reference to “logic” refers to structure that performs afunction or functions. An example of logic includes circuitry that isarranged to perform those function(s). For example, such circuitry mayinclude transistors and/or other hardware elements available in amanufacturing process. Such transistors and/or other elements may beused to form circuitry or structures that implement and/or containmemory, such as registers, flip flops, or latches, logical operators,such as Boolean operations, mathematical operators, such as adders,multipliers, or shifters, and interconnect, by way of example. Suchelements may be provided as custom circuits or standard cell libraries,macros, or at other levels of abstraction. Such elements may beinterconnected in a specific arrangement. Logic may include circuitrythat is fixed function and circuitry can be programmed to perform afunction or functions; such programming may be provided from a firmwareor software update or control mechanism. Logic identified to perform onefunction may also include logic that implements a constituent functionor sub-process. In an example, hardware logic has circuitry thatimplements a fixed function operation, or operations, state machine orprocess.

Any range or device value given herein may be extended or alteredwithout losing the effect sought, as will be apparent to the skilledperson.

It will be understood that the benefits and advantages described abovemay relate to one embodiment or may relate to several embodiments. Theembodiments are not limited to those that solve any or all of the statedproblems or those that have any or all of the stated benefits andadvantages.

Any reference to ‘an’ item refers to one or more of those items. Theterm ‘comprising’ is used herein to mean including the method blocks orelements identified, but that such blocks or elements do not comprise anexclusive list and an apparatus may contain additional blocks orelements and a method may contain additional operations or elements.Furthermore, the blocks, elements and operations are themselves notimpliedly closed.

The steps of the methods described herein may be carried out in anysuitable order, or simultaneously where appropriate. The arrows betweenboxes in the figures show one example sequence of method steps but arenot intended to exclude other sequences or the performance of multiplesteps in parallel. Additionally, individual blocks may be deleted fromany of the methods without departing from the spirit and scope of thesubject matter described herein. Aspects of any of the examplesdescribed above may be combined with aspects of any of the otherexamples described to form further examples without losing the effectsought. Where elements of the figures are shown connected by arrows, itwill be appreciated that these arrows show just one example flow ofcommunications (including data and control messages) between elements.The flow between elements may be in either direction or in bothdirections.

It will be understood that the above description of a preferredembodiment is given by way of example only and that variousmodifications may be made by those skilled in the art. Although variousembodiments have been described above with a certain degree ofparticularity, or with reference to one or more individual embodiments,those skilled in the art could make numerous alterations to thedisclosed embodiments without departing from the spirit or scope of thisinvention.

What is claimed is:
 1. Hardware logic arranged to normalize an inputbinary number, the hardware logic comprising: a zero counter arranged tocompute a number of leading or trailing zeros in the binary number; andnormalization logic arranged to perform normalization of the binarynumber, the normalization comprising at least one shifting operation;wherein at least a portion of the normalization is performed in parallelwith the computing of the number of leading or trailing zeros. 2.Hardware logic according to claim 1, wherein said at least a portion ofthe normalization is performed in parallel with the computing of thenumber of leading or trailing zeros and without input from the zerocounter.
 3. Hardware logic according to claim 1, wherein thenormalization logic comprises a normalizer block arranged to operateindependently of the zero counter.
 4. Hardware logic according to claim3, wherein the normalizer block comprises hardware logic arranged tocombine pairs of bits in the binary number according to:r _(i) ^(j:j)=α_(j).α_(j−n+1+i) where: . represents an AND logicfunction, n is a number of bits in the binary number, j is a bit indexassociated with each of the n-bits in the binary number, α_(j) is thej^(th) bit in the binary number, and i is a bit index associated witheach bit r_(i) output by the normalizer block.
 5. Hardware logicaccording to claim 4, wherein the normalizer block further compriseshardware logic arranged to combine values r_(i) ^(j:j) in the form of atree of logic elements to compute output bits r_(i) ^(n−1:0) based on atleast one of:r _(i) ^(j:k) =r _(i) ^(j:t) +B _(j:t) r _(i) ^(t−1:k) andr _(i) ^(j:k)=(r _(i) ^(j:t) +B _(j:t))(r _(i) ^(j:t) +r _(i) ^(t−1:k))where: + represents an OR logic function, t and k are natural numbers,andB _(j:t)=α_(j) .α_(j−1) . . . α_(t+1) .α_(t) .
 6. Hardware logicaccording to claim 1, wherein the normalization logic comprises: ashifter arranged to receive a subset of the bits, starting from a mostsignificant bit, generated by the zero counter and to shift the binarynumber based on the received bits; and a normalizer block arranged toreceive an output from the shifter and to generate an output comprisinga normalized version of the binary number.
 7. Hardware logic accordingto claim 6, wherein the normalizer block comprises hardware logicarranged to combine pairs of input bits according to:r _(i) ^(j:j)=α′_(j).α′_(j−n+1+i) where: . represents an AND logicfunction, n is a number of bits in the binary number, j is a bit indexassociated with each of the n-bits in the binary number, α′_(j) is thej^(th) bit in the number output by the shifter, and i is a bit indexassociated with each bit r_(i) output by the normalizer block. 8.Hardware logic according to claim 7, wherein the normalizer blockfurther comprises hardware logic arranged to combine values r_(i) ^(j:j)in the form of a tree of logic elements to compute output bits r_(i)^(n−1:n+1−2) ^(α−h) based on at least one of:r _(i) ^(j:k) =r _(i) ^(j:t) +B _(j:t) r _(i) ^(t−1:k) andr _(i) ^(j:k)=(r _(i) ^(j:t) +B _(j:t))(r _(i) ^(j:t) +r _(i) ^(t−1:k))where: + represents an OR logic function, t and k are natural numbers,α=└ log₂ n┘+1, the subset of bits received from the zero countercomprises h bits, andB _(j:t)=α_(j) .α_(j−1) . . . α_(t+1) .α_(t) .
 9. A method ofnormalizing an input binary number, the method comprising: computing, byhardware logic a number of leading or trailing zeros in the binarynumber in a zero counter; and normalizing the binary number innormalization logic, the normalization comprising at least one shiftingoperation and wherein at least a portion of the normalization isperformed in parallel with the computing of the number of leading ortrailing zeros.
 10. The method as set forth in claim 9, wherein at leasta portion of the normalization operation is performed in parallel withthe computing of the number of leading or trailing zeros and withoutinput from the number of leading or trailing zeros computation.
 11. Anon-transitory computer readable storage medium having stored thereoncomputer executable program code that when executed causes at least oneprocessor to: compute a number of leading or trailing zeros in a binarynumber in a zero counter; and normalize the binary number, thenormalization comprising at least one shifting operation, wherein atleast a portion of the normalization is performed in parallel with thecomputing of the number of leading or trailing zeros.
 12. Thenon-transitory computer readable storage medium as set forth in claim11, wherein at least a portion of the normalization operation isperformed in parallel with the computing of the number of leading ortrailing zeros and without input from the number of leading or trailingzeros computation.
 13. A non-transitory computer readable storage mediumhaving stored thereon computer executable program code that, whenexecuted at a computer system for generating a representation of adigital circuit from definitions of circuit elements and data definingrules for combining those circuit elements, cause the computer system togenerate hardware logic arranged to normalize an input binary number,the hardware logic comprising: a zero counter arranged to compute anumber of leading or trailing zeros in the binary number; andnormalization logic arranged to perform normalization of the binarynumber, the normalization comprising at least one shifting operation,wherein at least a portion of the normalization is performed in parallelwith the computing of the number of leading or trailing zeros.
 14. Thenon-transitory computer readable storage medium as set forth in claim13, wherein at least a portion of the normalization operation isperformed in parallel with the computing of the number of leading ortrailing zeros and without input from the number of leading or trailingzeros computation.